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Optimizely Feature Experimentation vs. Webtrends Analytics

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Optimizely Feature Experimentation

    Score8.4 out of 10
    N/AOptimizely Feature Experimentation unites feature flagging, A/B testing, and built-in collaboration—so marketers can release, experiment, and optimize with confidence in one platform.N/A

    Webtrends Analytics

    Score3 out of 10
    N/AWebTrends provides an enterprise web analytics platform and, according to Forrester, has a strong focus on support for mobile and social channels and a very open platform. Webtrends competes directly with Adobe Site Catalyst, IBM Coremetrics. and comScore DigitalAnalytix.N/A
    Pricing
    Optimizely Feature ExperimentationWebtrends Analytics
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Optimizely Feature ExperimentationWebtrends Analytics
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeRequiredNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Optimizely Feature ExperimentationWebtrends Analytics
    Considered Both Products
    Optimizely
    No answer on this topic
    Webtrends
    No answer on this topic
    Key User Insights
    Would buy again
    89%
    Would buy again
    41 Answers
    No answers on this topic
    Delivers good value for the price
    97%
    Delivers good value for the price
    33 Answers
    No answers on this topic
    Happy with the feature set
    91%
    Happy with the feature set
    42 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    88%
    Lived up to sales and marketing promises
    21 Answers
    No answers on this topic
    Implementation went as expected
    80%
    Implementation went as expected
    28 Answers
    No answers on this topic
    Best Alternatives
    Optimizely Feature ExperimentationWebtrends Analytics
    Small Businesses
    No answers on this topic
    Matomo Analytics
    Score9 out of 10
    Medium-sized Companies
    No answers on this topic
    Lead Forensics
    Score8.9 out of 10
    Enterprises
    No answers on this topic
    Chartbeat
    Score9.2 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Optimizely Feature ExperimentationWebtrends Analytics
    Likelihood to Recommend
    8.2
    (47 ratings)
    7.1
    (30 ratings)
    Likelihood to Renew
    4.5
    (2 ratings)
    5.4
    (25 ratings)
    Usability
    7.6
    (26 ratings)
    5.4
    (7 ratings)
    Availability
    -
    (0 ratings)
    9.0
    (4 ratings)
    Performance
    -
    (0 ratings)
    8.2
    (3 ratings)
    Support Rating
    3.6
    (1 ratings)
    8.8
    (8 ratings)
    In-Person Training
    -
    (0 ratings)
    9.7
    (3 ratings)
    Online Training
    -
    (0 ratings)
    9.0
    (4 ratings)
    Implementation Rating
    10.0
    (1 ratings)
    9.9
    (5 ratings)
    Configurability
    -
    (0 ratings)
    7.1
    (2 ratings)
    Product Scalability
    5.0
    (1 ratings)
    -
    (0 ratings)
    Vendor post-sale
    -
    (0 ratings)
    9.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    9.0
    (1 ratings)
    User Testimonials
    Optimizely Feature ExperimentationWebtrends Analytics
    Likelihood to Recommend
    Optimizely
    Based on my experience with Optimizely Feature Experimentation, I can highlight several scenarios where it excels and a few where it may be less suitable. Well-suited scenarios: - Multi-Channel product launches - Complex A/B testing and feature flag management - Gradual rollout and risk mitigation Less suited scenarios: - Simple A/B tests (their Web Experimentation product is probably better for that) - Non-technical team usage -
    Incentivized
    Read full review
    Webtrends
    Scenarios 1. If you want to use web server log files as input to your web analytics, then Webtrends will provides a good product, with great ease of implementation. Don't even think about being cheap on hardware, and make sure Webtrends runs on real servers, not in a VM environment. 2. If you want to use Data Tagging, similar to Google Analytics or Site Catalyst, Webtrends has a powerful product, just be prepared to pay. 3. If you are new to Web Analytics, but it is the strategic direction, start with Webtrends on Premises. Questions to Ask 1. What are you trying to accomplish? 2. Can you place a dollar value on the benefit that you expect/need from Webtrends? 3.Can you live with Webtrends running SaaS?
    Read full review
    Pros
    Optimizely
    • It is easy to use any of our product owners, marketers, developers can set up experiments and roll them out with some developer support. So the key thing there is this front end UI easy to use and maybe this will come later, but the new features such as Opal and the analytics or database centric engine is something we're interested in as well.
    Incentivized
    Read full review
    Webtrends
    • Control privacy, data sharing and competitive industrial knowledge using Webtrends on premises
    • Great control over custom reports, custom dimensions and metrics
    • Flexible tool which allows multiple methods of data capture. To my knowledge it was the first tool with a Tag Builder / Tag Management function built in via a supporting website.
    Read full review
    Cons
    Optimizely
    • Would be nice to able to switch variants between say an MVT to a 50:50 if one of the variants is not performing very well quickly and effectively so can still use the standardised report
    • Interface can feel very bare bones/not very many graphs or visuals, which other providers have to make it a bit more engaging
    • Doesn't show easily what each variant that is live looks like, so can be hard to remember what is actually being shown in each test
    Incentivized
    Read full review
    Webtrends
    • The big downside, the elephant in the room, is that it does not (as of right now) have on-demand segmenting, drilldowns, etc. You have to think of what you want in advance and create those reports then analyze some data. This is huge. You can, of course, re-analyze old data after creating new reports but you still have to wait. (This deficiency may become obsolete with the release of Webtrends Explore later this month (May 2014).)
    • It has fewer mature integrations with other products and databases than competitors do, although I'm told it works with SharePoint better than anything else does.
    • Its attribution modeling capability is behind Google Analytics'. In my humble opinion, this could be changed quickly if Webtrends would make some tweaks to its standard visitor history files (i.e. preserve the order in which past visits were sourced beyond the single most recent one, rather than storing all those past sources as a randomized list).
    • It doesn't incorporate statistical tests, confidence intervals, or statistical associations. However, this same criticism can be applied to its competitors (other than A/B Testing products). It's a tabulation program, as they all are. In this respect, web analytics tools as a group are relatively primitive. Sorry to bring this up as a criticism of Webtrends but it's my pet peeve about the whole industry and I just have to say it. (p.s. take advantage of the heavy-duty Webtrends Scheduled Export functionality to get really granular data that you can feed to a stats program to get significances.)
    • Although the documentation, help screens, phone support and the knowledge base have improved tremendously in recent years, there is still a pretty steep learning curve because it is different from the tools that entry-level users may have already been exposed to. This can be a shock and many users are alienated at first because they just don't get some of the fundamentals at first. I'd like to see much better help screens that are thoroughly interlinked with the KB and documentation. Having superb online support would make a world of difference with the adoption of this basically powerful tool.
    Read full review
    Likelihood to Renew
    Optimizely
    Competitive landscape
    Incentivized
    Read full review
    Webtrends
    I would be willing to try Webtrends again AFTER some research from other users. I would need to see that users mention better and faster customer support on questions and issues that arise while using the software. The software is capable of vast and incredible things, but if it isnt properly set up and supported during use, it is just a big hassel and waste of everyones time and money.
    Read full review
    Usability
    Optimizely
    Easy to navigate the UI. Once you know how to use it, it is very easy to run experiments. And when the experiment is setup, the SDK code variables are generated and available for developers to use immediately so they can quickly build the experiment code
    Incentivized
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    Webtrends
    If I could give it a 0, I would. Not having an intuitive user interface made it impossible to convince non-analytic business users to use the tool on their own. Even as a seasoned analyst, frequent calls were needed to get what should be simple tasks done. Account managers don't understand the tool either, and have to refer you to technical support
    Read full review
    Reliability and Availability
    Optimizely
    No answers on this topic
    Webtrends
    It is much better than average. Down time usually occurs because of a need to refresh the server on our end.
    Read full review
    Performance
    Optimizely
    No answers on this topic
    Webtrends
    The v9 admin interface and v10 reporting interface work as well as expected, but have a tendency to be pokey, especially for bulky reports and whenever you're connected to wifi. I much prefer using the REST API for all reporting for this reason, which simply dumps out the data and doesn't bother with the user interface.
    Read full review
    Support Rating
    Optimizely
    Support was there but it was pretty slow at most times. Only after escalation was support really given to our teams
    Incentivized
    Read full review
    Webtrends
    I once went on to Twitter to ask for help from my network of analytics people, and Webtrends themselves responded. They have been an excellent partner in making sure that their product is being used to the best of it's ability and I greatly appreciate that. Both Omniture and Google Analytics, do not have that level of support over social media
    Read full review
    In-Person Training
    Optimizely
    No answers on this topic
    Webtrends
    The in-person training was comprehensive enough to get you started, but I strongly recommend having a more experienced person when beginning with the tool.
    Read full review
    Online Training
    Optimizely
    No answers on this topic
    Webtrends
    Webtrends provides several free webinars over the course of the year, many of which I would expect to pay for. The people providing the webinars seem to have a good feel for real-world application of the product.
    Read full review
    Implementation Rating
    Optimizely
    It’s straightforward. Docs are well written and I believe there must be a support. But we haven’t used it
    Incentivized
    Read full review
    Webtrends
    Careful planning and patience. Use a non-public test site to fine tune tags and reporting. Despite best laid plans, there will be surprises when you collect the data, run the analysis and begin generating reports using the tool. Perform a tag audit to ensure tags fire as desired.
    Read full review
    Alternatives Considered
    Optimizely
    When Google Optimize goes off we searched for a tool where you can be sure to get a good GA4 implementation and easy to use for IT team and product team. Optimizely Feature Experimentation seems to have a good balance between pricing and capabilities. If you are searching for an experimentation tool and personalization all in one... then maybe these comparison change and Optimizely turns to expensive. In the same way... if you want a server side solution. For us, it will be a challenge in the following years
    Incentivized
    Read full review
    Webtrends
    Webtrends has its work cut out for itself considering you have the behemoth Google Analytics and Google Analytics Premium having a strong offering and brand recognition for the price of free. After reviewing the paid service I'd suggest you start off with GA as a cheaper alternative that is just as robust, if not much more flexible in regards to the reporting and goal tracking needs for our company.
    Incentivized
    Read full review
    Scalability
    Optimizely
    had troubles with performance for SSR and the React SDK
    Incentivized
    Read full review
    Webtrends
    No answers on this topic
    Return on Investment
    Optimizely
    • We have improved various metrics throughout the course of our experimentation program with Optimizely and therefore sharing numbers is tricky. Essentially we only implement versions of the product that perform the best in terms of CVR, revenue/visitor, ATV, average order value, average basket size and so forth dependent on the north star we are trying to move with each release.
    Incentivized
    Read full review
    Webtrends
    • Webtrends has had a positive impact on site visitation because it allowed us to understand the sources by domain for site traffic and find out ways to increase visits from those domains.
    • Webtrends has also allowed us to understand areas of optimization on the site, which has had a positive impact on the overall user journey on the site, likely leading to longer site duration and engagement.
    Read full review
    ScreenShots

    Optimizely Feature Experimentation Screenshots

    Screenshot of Feature Flag Setup. Here users can run A/B and multi-armed bandit tests, as well as:

- Set up a single feature flag to test multiple variations and experiment types
- Enable targeted deliveries and rollouts for more precise experimentation
- Roll back changes quickly when needed to ensure experiment accuracy and reduce risks
- Increase testing flexibility with control over experiment types and delivery methodsScreenshot of Audience Setup. This is used to target specific user segments for personalized experiments, and:

- Create and customize audiences based on user attributes
- Refine audience segments to ensure the right users are included in tests
- Enhance experiment relevance by setting specific conditions for user groupsScreenshot of Experiment Results, supporting the analysis and optimization of experimentation outcomes. Viewers can also:

- examine detailed experiment results, including key metrics like conversion rates and statistical significance
- Compare variations side-by-side to identify winning treatments
- Use advanced filters to segment and drill down into specific audience or test dataScreenshot of A Program Overview. These offer insights into any experimentation program’s performance. It also offers:

- A comprehensive view of the entire experimentation program’s status and progress
- Monitoring for key performance metrics like test velocity, success rates, and overall impact
- Evaluation of the impact of experiments with easy-to-read visualizations and reporting tools
- Performance tracking of experiments over time to guide decision-making and optimize strategiesScreenshot of AI Variable Suggestions. These enhance experimentation with AI-driven insights, and can also help with:

- Generating multiple content variations with AI to speed up experiment design
- Improving test quality with content suggestions
- Increasing experimentation velocity and achieving better outcomes with AI-powered optimizationScreenshot of Schedule Changes, to streamline experimentation. Users can also:

- Set specific times to toggle flags or rules on/off, ensuring precise control
- Schedule traffic allocation percentages for smooth experiment rollouts
- Increase test velocity and confidence by automating progressive changes

    Webtrends Analytics Screenshots

    Screenshot of 450+ out-of-box reports
Unlimited custom reports
Roll-up reports across domains
Out-of-box channel and market-specific reportsScreenshot of Unlimited dimensions
No processing time
Dynamic, on-the-fly segmentation
Create, save and share custom views, measures and segmentsScreenshot of Unlimited custom dashboards
Key metrics, trends, demographics, geo maps, word clouds and more
Drill-throughs to connected reports